electricsheepafrica/africa-world-bank-social-development-indicators-for-guinea
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---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- development
- indicators
- gin
pretty_name: "Guinea - Social Development"
dataset_info:
splits:
- name: train
num_examples: 704
- name: test
num_examples: 176
---
# Guinea - Social Development
**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea) · **License:** `cc-by` · **Updated:** 2026-03-27
---
## Abstract
Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-guinea) on HDX.
Data here cover child labor, gender issues, refugees, and asylum seekers. Children in many countries work long hours, often combining studying with work for pay. The data on their paid work are from household surveys conducted by the International Labour Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. Gender disparities are measured using a compilation of data on key topics such as education, health, labor force participation, and political participation. Data on refugees are from the United Nations High Commissioner for Refugees complemented by statistics on Palestinian refugees under the mandate of the United Nations Relief and Works Agency.
Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **GIN**.
*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
---
## Dataset Characteristics
| | |
|---|---|
| **Domain** | Public health |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 881 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 704 rows |
| **Test split** | 176 rows |
| **Geographic scope** | GIN |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |
---
## Variables
**Geographic** — `country_name` (Guinea), `country_iso3` (GIN), `year` (range 1960.0–2025.0).
**Outcome / Measurement** — `value` (range 0.0686–165.394).
**Identifier / Metadata** — `indicator_name` (Life expectancy at birth, male (years), Life expectancy at birth, female (years), Adolescent fertility rate (births per 1,000 women ages 15-19)), `indicator_code` (SP.DYN.LE00.MA.IN, SP.DYN.LE00.FE.IN, SP.ADO.TFRT), `esa_source` (HDX), `esa_processed` (2026-04-09).
---
## Quick Start
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-world-bank-social-development-indicators-for-guinea")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
```
---
## Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country_name` | object | 0.0% | Guinea |
| `country_iso3` | object | 0.0% | GIN |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 2002.2645) |
| `indicator_name` | object | 0.0% | Life expectancy at birth, male (years), Life expectancy at birth, female (years), Adolescent fertility rate (births per 1,000 women ages 15-19) |
| `indicator_code` | object | 0.0% | SP.DYN.LE00.MA.IN, SP.DYN.LE00.FE.IN, SP.ADO.TFRT |
| `value` | float64 | 0.0% | 0.0686 – 165.394 (mean 43.9119) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |
---
## Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 2002.2645 | 2004.0 |
| `value` | 0.0686 | 165.394 | 43.9119 | 43.279 |
---
## Curation
Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
---
## Limitations
- Data originates from World Bank Group and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea) for the publisher's own methodology notes and caveats.
---
## Citation
```bibtex
@dataset{hdx_africa_world_bank_social_development_indicators_for_guinea,
title = {Guinea - Social Development},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
```
---
*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*
### 数据集元数据
annotations_creators:
- 无注释
language_creators:
- 公开获取
language:
- 英语
license:
- CC BY 4.0
multilinguality:
- 单语言
size_categories:
- 不足1000条
source_datasets:
- 原创数据集
task_categories:
- 表格分类
task_ids:
- 无
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 发展
- 指标
- GIN
pretty_name: "几内亚——社会发展"
dataset_info:
数据集划分:
- 划分名称: 训练集
样本数量: 704
- 划分名称: 测试集
样本数量: 176
# 几内亚——社会发展
**发布方：世界银行集团 · 数据源：[人类数据交换平台（Humanitarian Data Exchange, HDX）](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea) · 许可证：`CC BY` · 最后更新时间：2026-03-27**
---
## 数据集摘要
本数据集包含来自世界银行[数据门户](http://data.worldbank.org/)的公开数据。HDX平台上还提供了一份[整合版国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-guinea)。
本数据集涵盖童工、性别议题、难民与寻求庇护者相关数据。全球多国儿童需长时间劳作，往往兼顾学业与有偿工作。相关有偿工作数据由国际劳工组织（International Labour Organization, ILO）、联合国儿童基金会（United Nations Children's Fund, UNICEF）、世界银行以及各国统计机构开展的家庭调查收集得到。性别差距通过教育、健康、劳动力参与率、政治参与等核心议题的整合数据进行衡量。难民相关数据来自联合国难民署，补充了由联合国近东巴勒斯坦难民救济和工程处（United Nations Relief and Works Agency, UNRWA）管辖的巴勒斯坦难民统计数据。
本数据集每一行代表国家层面的汇总统计数据。该数据集最后一次在HDX平台更新的时间为2026-03-27。地理覆盖范围：**GIN（几内亚）**。
本数据集经[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为可供机器学习直接使用的Parquet格式。
---
## 数据集特征
| | |
|---|---|
| **领域** | 公共卫生 |
| **观测单元** | 国家层面汇总数据 |
| **总行数** | 881 |
| **列数** | 8列（2列数值型，6列分类型，0列日期时间型） |
| **训练集划分** | 704行 |
| **测试集划分** | 176行 |
| **地理覆盖范围** | GIN |
| **发布方** | 世界银行集团 |
| **HDX最后更新时间** | 2026-03-27 |
---
## 变量说明
### 地理标识类
`country_name`（国家名称：几内亚）、`country_iso3`（国家ISO3代码：GIN）、`year`（年份：范围1960.0–2025.0）。
### 结果/测量类
`value`（指标数值：范围0.0686–165.394）。
### 标识符/元数据类
`indicator_name`（指标名称：出生时预期寿命，男性（年）、出生时预期寿命，女性（年）、青少年生育率（每1000名15-19岁女性的活产数））、`indicator_code`（指标代码：SP.DYN.LE00.MA.IN、SP.DYN.LE00.FE.IN、SP.ADO.TFRT）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-09）。
---
## 快速上手
python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-world-bank-social-development-indicators-for-guinea")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
---
## 数据结构
| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串型（Pandas object类型） | 0.0% | 几内亚 |
| `country_iso3` | 字符串型（Pandas object类型） | 0.0% | GIN |
| `year` | 64位整型（int64） | 0.0% | 1960.0 – 2025.0（均值2002.2645） |
| `indicator_name` | 字符串型（Pandas object类型） | 0.0% | 出生时预期寿命，男性（年）、出生时预期寿命，女性（年）、青少年生育率（每1000名15-19岁女性的活产数） |
| `indicator_code` | 字符串型（Pandas object类型） | 0.0% | SP.DYN.LE00.MA.IN、SP.DYN.LE00.FE.IN、SP.ADO.TFRT |
| `value` | 64位浮点型（float64） | 0.0% | 0.0686 – 165.394（均值43.9119） |
| `esa_source` | 字符串型（Pandas object类型） | 0.0% | HDX |
| `esa_processed` | 字符串型（Pandas object类型） | 0.0% | 2026-04-09 |
---
## 数值统计摘要
| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 2002.2645 | 2004.0 |
| `value` | 0.0686 | 165.394 | 43.9119 | 43.279 |
---
## 数据整理流程
原始数据通过CKAN API从HDX平台下载，并转换为Parquet格式。列名被统一转换为小写并标准化为蛇形命名法（snake_case）。常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。本数据集使用固定随机种子（42）按照80/20的比例划分为训练集与测试集，并以Snappy压缩格式的Parquet文件存储。
---
## 数据集局限性
- 本数据集源自世界银行集团，Electric Sheep Africa未对其进行独立验证。
- 自动化清洗流程无法修正原始数据收集中的错报值、定义不一致或抽样偏差问题。
- 如需查看发布方提供的方法说明与免责声明，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea)。
---
## 引用格式
bibtex
@dataset{hdx_africa_world_bank_social_development_indicators_for_guinea,
title = {Guinea - Social Development},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
---
*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施提供商，总部位于尼日利亚拉各斯。*
提供机构：
electricsheepafrica
